{"database": "metadata", "table": "run_metadata", "rows": [[22, "DRR334969", "DRX323965", "DRS217305", "DRP008001", "PRJDB12578", "Allometric scaling of RNA abundance from genes to communities", "DRP008001", "Other", "The metabolic theory of ecology MTE and growth rate hypothesis GRH help explain the mechanistic basis of size allometry and temperature dependence on growth rate and whole  body RNA content in organisms. However  testing RNA allometric scaling with next generation sequencing is yet to be done. Here  we validated the assumptions of GRH and MTE on messenger RNA and ribosome abundance using mock community metatranscriptome analysis. Our findings highlight that fast growing smaller species harbor greater RNA abundance per mass of tissue compared with species having larger body sizes and slower growth rates. We found that genome size and body size impose significant constraints in interspecific RNA abundance scaling  while the assumed temperature dependence appeared to be weak. Lastly  allometric scaling integration in community level models may extend the use of metatranscriptomics as a reliable tool for estimating ecosystem processes.", null, null, "totalRNA metatranscriptomic sequences from mock communities consist of five model species", "rRNA mock community at 10 degrees rep 1", "SAMD00422589", null, "sample name:rRNA mock community 10 degrees rep 1|biological replicate:1|collection date:2021 01 15|dev stage:Adult|technical replicate:1|temp:10|treatment:rRNA", null, null, null, null, null, null, null, null, "NextSeq 2000 sequencing of SAMD00422589", "DRX323965", "t10 1 tRNA.fastq", "1", "NEBNext Kit for Illumina", null, "RNA-Seq", "METATRANSCRIPTOMIC", "cDNA", "SINGLE", "ILLUMINA", "NextSeq 2000", "<SPOT_DESCRIPTOR><SPOT_DECODE_SPEC><SPOT_LENGTH>101</SPOT_LENGTH><READ_SPEC><READ_INDEX>0</READ_INDEX><READ_CLASS>Application Read</READ_CLASS><READ_TYPE>Forward</READ_TYPE><BASE_COORD>1</BASE_COORD></READ_SPEC></SPOT_DECODE_SPEC></SPOT_DESCRIPTOR>", "DRP008001", "NextSeq 2000 sequencing of SAMD00422589", null, null, null, 3206657309.0, 31883532.0, "DRR334969", "0:100.57 1:0", "A:792874386;C:814578518;G:787469614;T:811734581;N:210", 100, 0, null, null, 792874386, 814578518, 787469614, 811734581, 210, "DRX323965", "DRS217305", "DRA013226", "SINICA|Machida Laboratory Biodiversity Research Center, Academia Sinica", "SINICA|Machida Laboratory Biodiversity Research Center, Academia Sinica", 1, 0.40156, null, 0.09664, null, 0.92898, null, 0.74114, null, 101, null, "B", null, "usable mapping rate", "illumina", "nextseq_v2", "unknown", "random_priming", "nebnext", "bulk", "unknown", "unknown", null, "Taiwan", "2021-12-23", "Adult", "Adult", "Undetermined", "Undetermined"]], "columns": ["rowid", "run.accession", "experiment.accession", "sample.accession", "study.accession", "bioproject", "study.title", "study.alias", "study.type", "study.abstract", "study.attributes", "study.PMIDs", "sample.description", "sample.title", "sample.alias", "sample.centername", "sample.attributes", "GEOsample.title", "GEOsample.dataprocessing", "GEOsample.source", "GEOsample.treatmentprotocol", "GEOsample.extractprotocol", "GEOsample.growthprotocol", "GEOsample.characteristics", "GEOsample.accession", "experiment.title", "experiment.alias", "experiment.library_name", "experiment.design_description", "experiment.library_construction_protocol", "experiment.attributes", "experiment.library_strategy", "experiment.library_source", "experiment.library_selection", "experiment.library_layout", "experiment.platform", "experiment.instrument_model", "experiment.spot_descriptor", "experiment.study_ref", "run.title", "run.attributes", "run.filename", "run.semantic_name", "run.total_bases", "run.total_spots", "run.alias", "run.read_lengths", "run.base_counts", "run.r1_length", "run.r2_length", "run.r3_length", "run.r4_length", "run.Acount", "run.Ccount", "run.Gcount", "run.Tcount", "run.Ncount", "run.experiment", "run.pool_member", "submission.accession", "submission.srasource", "submission.bioprojectsource", "seqdetective.n_mates", "seqdetective.mapping_rate.mate1", "seqdetective.mapping_rate.mate2", "seqdetective.nofeature_rate.mate1", "seqdetective.nofeature_rate.mate2", "seqdetective.sparsity.mate1", "seqdetective.sparsity.mate2", "seqdetective.pos_strand_rate.mate1", "seqdetective.pos_strand_rate.mate2", "seqdetective.readlen.mate1", "seqdetective.readlen.mate2", "seqdetective.judgement.mate1", "seqdetective.judgement.mate2", "seqdetective.judgement.reason", "platform_family", "instrument_generation", "read_bias", "selection_class", "prep_kit", "sc_or_bulk", "tech_class", "technology", "tech_variant", "submission.bioprojectsource.country", "earliest_date", "devstage_curation", "devstage_curation_coarse", "tissue_curation", "tissue_curation_coarse"], "primary_keys": ["rowid"], "primary_key_values": ["22"], "units": {}, "query_ms": 9.53913099510828}